Wind energy is crucial for realizing climate neutrality, energy independence, and energy security. With the increased penetration of renewables in the electricity grid, there is a strong need for control technology to determine the number of electrons to produce and their destination (e.g., grid, storage, hydrogen) for maximum value to the energy system. Whereas the technology available on the market exclusively maximizes the energy yield, the future lies with optimization for cost of valued energy, which considers energy security, storage, fluctuating electricity prices, turbine component wear, and turbine lifetime. With several partners in the EU we will develop open-source technology for resilient, and data-enabled offshore wind farm control and co-design. For multiple projects we are currently looking for several Postdocs.
1) Measuring the wake of novel wake mixing strategies using lidars
2) Integrated wind farm control, combining different flow control strategies
3) Co-design, simultaneous design of the wind farm lay-out and control strategy
4) Data-driven wind farm control (using AI to optimize the performance of wind farms).